DocumentCode :
1507120
Title :
HUT snow emission model and its applicability to snow water equivalent retrieval
Author :
Pulliainen, Jouni T. ; Grandell, Jochen ; Hallikainen, Martti T.
Author_Institution :
Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
Volume :
37
Issue :
3
fYear :
1999
fDate :
5/1/1999 12:00:00 AM
Firstpage :
1378
Lastpage :
1390
Abstract :
The derivation, testing, and employment to parameter retrieval of the Helsinki University of Technology (HUT) snow microwave emission model is presented. The radiative transfer-based semi-empirical model describes the emission behavior of a homogeneous snowpack as a function of water equivalent (SWE), effective grain size, and density of snow. Additionally, the modeling approach takes into account the influence of soil surface, forest canopy, and atmosphere to spaceborne observed brightness temperature by using empirical and semi-empirical formulas. The comparison of model predictions with independent experimental data shows good correlations, especially in terms of spectral characteristics. This enables the development of a new inversion technique for the SWE retrieval from spaceborne data based on the developed model. The test results using special sensor microwave/imager (SSM/I) data from boreal forest zone showed SWE retrieval accuracies considerably higher than those obtained with conventional algorithms. A discussion and analysis on the feasibility of the new SWE retrieval technique for operational applications is also included
Keywords :
hydrological techniques; radiometry; remote sensing; snow; terrain mapping; HUT snow emission model; Helsinki University of Technology; density; effective grain size; hydrology; measurement technique; microwave emission model; microwave radiometry; parameter retrieval; radiative transfer; remote sensing; semi-empirical model; snow cover; snow water equivalent retrieval; snowcover; snowpack; Atmosphere; Atmospheric modeling; Brightness temperature; Employment; Grain size; Information retrieval; Microwave technology; Snow; Soil; Testing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.763302
Filename :
763302
Link To Document :
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